Senior Cloud Engineer & Product Owner

Job Summary

Senior Cloud Engineer Product Owner - Hyderabad

About the Role

Are you looking for an exciting opportunity in Cloud AI and Data platform capabilitiesAre you passionate about everything Azure CloudThen join us as a Senior Product Owner.

This role requires to drive the evolution of Swiss Re's Azure AI Data Platform into a scalable, governed, and business-aligned product, enabling:

• Enterprise-wide adoption of AI/GenAI and data capabilities
• Faster realization of data-driven business outcomes
• Strong alignment with risk, compliance, and cloud governance standards

Your main responsibilities:

• Own and drive product vision, roadmap, and OKRs for Azure AI Data services
• Translate enterprise priorities into measurable product outcomes and value realization
• Ensure alignment with GTS strategy, cloud transformation, and business unit needs
• Own the product backlog, prioritization, and delivery sequencing
• Define clear product features, acceptance criteria, and KPIs
• Make independent scoping and prioritization decisions balancing value, risk, and cost
• Ensure delivery predictability through Agile execution and governance rhythms
• Accountable for platform capabilities across:
• • Azure OpenAI / AI Services and responsible AI controls,
  • Databricks / Synapse / Fabric for analytics and data engineering
  • Data governance, lineage, catalog, and platform standards
  • MLOps / LLMOps lifecycle management
• Act as the primary interface between business, engineering, and platform teams
• Influence senior stakeholders and drive cross-functional alignment
• Communicate roadmap, risks, and outcomes to leadership forums
• Embed security, regulatory, and audit controls into product design
• Ensure adherence to cloud governance frameworks and policies
• Drive standardization and guardrails for safe AI/data adoption
• Monitor product health via adoption, cost efficiency, and reliability metrics

About you

The following proven technical skills will be required:

• 12+ years in product management / cloud platform / data engineering roles
• Deep hands-on knowledge of Microsoft Azure.
• Strong experience with Azure Databricks as an enterprise data platform capability.
• Proven delivery in enterprise-scale cloud or data platform environments
• Hands-on expertise in Infrastructure as Code (IaC) such as Bicep and CI/CD Azure DevOps pipeline integration for automated quality and reliability checks
• Strong grounding in Platform engineering concepts: golden paths, paved road tooling, self-service automation, RBAC, and internal developer platforms (IDPs).
• Experience in Azure landing zone design, platform automation design, DevSecOps tooling, network topology connectivity, access management privileged identity design, platform monitoring, security architecture, high availability architecture design.
• Experience in DevOps methodology (preferably DevSecOps), both technically and organisationally, including continuous deployment, delivery pipelines and test environments.
• Good stakeholder communication. Ability to work with Delivery Directors, Security Leads, Architects and engineering teams.
• At ease working in a transformational and complex environment at a fast-pace and getting things done.
• Proficiency in English is required.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.